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Validation of the MOG-AR Score: A Retrospective Multicenter Study
Sara Carta1, Riccardo Tiberi2, Nicola De Rossi3
1Neurology Unit, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Italy.
The MOG-AR score did not accurately predict relapses in MOGAD patients. However, immunosuppressive treatment after the initial attack was linked to a reduced risk of future relapses in MOGAD.
Area of Science:
- Neurology
- Immunology
- Clinical Research
Background:
- Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease (MOGAD) is an autoimmune condition.
- Identifying patients at high risk of relapse is crucial for timely intervention.
- The MOG-AR score was developed to predict relapse risk in MOGAD.
Purpose of the Study:
- To validate the MOG-AR score in a multicenter cohort of MOGAD patients.
- To identify other factors associated with relapse risk in MOGAD.
Main Methods:
- Retrospective enrollment of 190 MOGAD patients from 24 centers.
- Application of the MOG-AR score to categorize patients into 4 risk levels.
- Statistical analysis to explore the association of MOG-AR score and other variables with relapse.
Main Results:
- The MOG-AR score showed limited accuracy in predicting relapses (AUC=0.64).
- 41% of patients experienced at least one relapse during follow-up.
- Immunosuppressive treatment post-initial MOGAD attack was associated with a lower relapse risk.
Conclusions:
- The MOG-AR score is not a reliable predictor of disease course in MOGAD.
- Early immunosuppressive treatment may reduce relapse rates in MOGAD patients.
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